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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhance...
gemini-2.5-pro-preview-05-06 is a Multimodal model from Google (US). HotON.ai tracks it at $1.25 per 1M input tokens and $10.00 per 1M output tokens, with a 1049K-token context window. Its composite efficiency score is 92/100 at an estimated $0.008 per successful task.
gemini-2.5-pro-preview-05-06 is tracked at $1.25 per 1M input tokens and $10.00 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $7.81 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
gemini-2.5-pro-preview-05-06 supports up to a 1049K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, gemini-2.5-pro-preview-05-06 is cheaper than 22% of models on input price and ranks #52 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — gemini-2.5-pro-preview-05-06 (Google): $1.25/1M input, $10.00/1M output, as of 2026-04-28. https://hoton.ai/en/models/google-gemini-2-5-pro-preview-05-06Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.